@thesis{thesis,
		author={Agtriadi  Herman Bedi and Dody  S and Sabbih  Syekh Alam},
		title ={IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK UNTUK MENGKLASIFIKASIKAN TINGKAT KEMATANGAN PADA BUAH MANGGA BERBASIS WEBSITE},
		year={2022},
		url={http://156.67.221.169/5810/},
		abstract={This study was conducted to find out how to classify the image, the results of the 
maturity classification, and find out the level of accuracy obtained in the maturity 
classification in mango fruits. The methods used in this study are the Convolutional 
Neural Network method for classifying manga fruits, and the confusion matrix to measure 
the accuracy of the maturity classification in mango fruits whether the fruit is raw, ripe 
or rotten. The data used in this study amounted to 389 data. The results obtained from this 
study are the creation of a model for classifying mango fruit images using Convolutional 
Neural Network with convolution layer filters, activation of relu and softmax and fully 
connected layers. It got the accuracy rate by using a confusion matrix of 81%, precision 
of 82% and recall of 89%.}
		}